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Jie Zheng

Researcher at University of Bristol

Publications -  127
Citations -  9389

Jie Zheng is an academic researcher from University of Bristol. The author has contributed to research in topics: Mendelian randomization & Medicine. The author has an hindex of 22, co-authored 76 publications receiving 4852 citations. Previous affiliations of Jie Zheng include Medical Research Council.

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Multi-ancestry Mendelian randomization of omics traits revealing drug targets of COVID-19 severity

TL;DR: In this article , Mendelian randomization (MR) and colocalization approaches were applied to understand the putative causal effects of 16,059 transcripts and 1608 proteins on COVID-19 severity in European and effects of 610 proteins on CoVID-2019 severity in African ancestry.
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MR-TRYX: Exploiting horizontal pleiotropy to infer novel causal pathways

TL;DR: In this paper, a LASSO-based multivariable Mendelian randomization (MR-TRYX) approach was developed to model the heterogeneity in the exposure-outcome analysis due to pathways through candidate traits.
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Mendelian Randomization Analysis Reveals a Causal Effect of Urinary Sodium/Urinary Creatinine Ratio on Kidney Function in Europeans

TL;DR: Evidence is provided that sodium excretion, well above the recommendation of <2 g per day of sodium intake, might not have a harmful effect on kidney function, and clinical trials are warranted to evaluate the sodium restriction target on kidneys function.
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The impact of fatty acids biosynthesis on the risk of cardiovascular diseases in Europeans and East Asians: a Mendelian randomization study

TL;DR: The findings indicate that genetically-determined PUFA and MUFA biosynthesis are involved in the aetiology of cardiovascular diseases and suggest LDL-cholesterol as a potential mediating trait between PUFA biosynthetic rate and cardiovascular diseases risk.
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Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization

TL;DR: In this paper , the interactive causal effects between gut microbiota and host urate metabolism and explore the underlying mechanism using genetic methods were investigated using linkage disequilibrium score regression and bidirectional Mendelian randomization.